Oracle MySQL Database Developer/Architect

Oracle MySQL Database Developer/ Architect

Remote - USA

Position: Oracle MySQL Database Architect – Developer/Engineering Background

What we’re looking for
We need a hands-on Principal Enterprise Data Architect who can design and evolve a scalable enterprise data layer across ingestion, storage, processing, and serving to support substantial growth and changing operational, analytical, and AI needs. The role combines target- and transition-state architecture, shared semantics, reusable platform capabilities, federated governance, secure data access, and adoption across product and engineering teams. Experience integrating heterogeneous products is useful where it informs platform design, but the core requirement is a reliable, extensible, and cost-conscious data foundation. Database operations expertise is valuable, but should be one part of that broader architecture track record.
Must-haves:

• Has designed or evolved data platforms to support substantial growth in data volume and ingestion/change rates, workload diversity and concurrency, freshness/latency, user or tenant demand, reliability, and cost, with clear architecture decisions and measured outcomes
• Can define target and transition architectures across operational systems, CDC and streaming, batch, event/API integration, storage and processing patterns, and analytical or application-serving paths, selecting technologies to fit workload needs
• Has deep experience with shared business semantics, canonical entities, identity resolution, master/reference data, authoritative sources, reconciliation, and schema evolution
• Has built reusable data-platform capabilities and data products, including contracts, event patterns, governed interfaces, templates, and implementation guidance adopted by domain teams
• Has established practical metadata, lineage, quality, observability, ownership, and federated governance patterns without slowing delivery
• Designs for security, privacy, compliance, and tenant isolation in regulated environments, with clear controls for PII, access, retention, and auditability
• Can design governed, permission-aware data access for AI consumption, with provenance, usable metadata, and auditable controls
• Can translate architecture into a sequenced roadmap, reference implementations, measurable outcomes, and decisions that influence executives and engineering teams
• Is comfortable operating as a hands-on Principal IC, driving adoption across teams without relying on direct authority